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Title:Vpliv korupcije na produktivnost dela v evropskih gospodarstvih
Authors:ID Landeker, Evelin (Author)
ID Bekő, Jani (Mentor) More about this mentor... New window
Files:.pdf MAG_Landeker_Evelin_2024.pdf (1,90 MB)
MD5: D09CB750B5C9DE012503541F120417DB
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:EPF - Faculty of Business and Economics
Abstract:V magistrskem delu preverjamo hipotezo o negativnem vplivu korupcije na produktivnost dela v 21 evropskih gospodarstvih v obdobju 2002–2019. Oba analizirana indikatorja korupcije (označena kot korupcija_1, korupcija_2) statistično značilno negativno vplivata na vseh osem indikatorjev produktivnosti dela v modelih, ocenjenih z White cross-section variančno-kovariančno matriko, in v primeru korupcije_1 tudi ko v modele dodamo kvadrat zaloge kapitala. Medtem ko v modelih, ocenjenih z White period variančno-kovariančno matriko, korupcija_1 statistično značilno negativno vpliva na sedem od osmih izbranih indikatorjev produktivnosti dela, korupcija_2 pa na šest od osmih indikatorjev produktivnosti dela. V modelih s kvadratom zaloge kapitala, ocenjenih z White period variančno-kovariančno matriko, korupcija_1 statistično značilno negativno vpliva na šest od osmih indikatorjev produktivnosti dela, korupcija_2 pa na pet od osmih indikatorjev produktivnosti dela. Negativni vpliv korupcije na produktivnost dela je neomajno empirično dokazan in vrednostno znaten. Precizneje ugotavljamo, da povečanje obsega, v katerem se javna oblast uporablja za doseganje zasebnih koristi, za eno enoto v povprečju zmanjša BDP na zaposlenega za 12.013 mednarodnih dolarjev oz. za 11.112 mednarodnih dolarjev, če upoštevamo model s kvadratom zaloge kapitala.
Keywords:korupcija, produktivnost dela, zaloga kapitala, evropska gospodarstva
Place of publishing:Maribor
Publisher:E, Landeker
Year of publishing:2024
PID:20.500.12556/DKUM-90740 New window
UDC:338.312:343
COBISS.SI-ID:211983363 New window
Publication date in DKUM:17.10.2024
Views:199
Downloads:116
Metadata:XML DC-XML DC-RDF
Categories:EPF
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:18.09.2024

Secondary language

Language:English
Title:The impact of corruption on labour productivity in european economies
Abstract:This master thesis examines the hypothesis of the negative impact of corruption on labour productivity in 21 European economies over the period 2002-2019. Both corruption indicators (marked as corrupt_1, corrupt_2) have a statistically significant negative impact on all eight labour productivity indicators in the models estimated using the White cross-section variance-covariance matrix, and in the case of corrupt_1 even when the square of the capital stock is added to the models. Whereas in the models estimated with the White period variance-covariance matrix, corrupt_1 negatively affects seven out of the eight selected labour productivity indicators, and corrupt_2 has a statistically significant negative impact on six out of the eight labour productivity indicators. In the models with squared capital stock, estimated using the White period variance-covariance matrix, corrupt_1 has a statistically significant negative impact on six out of the eight labour productivity indicators, and corrupt_2 on five out of the eight labour productivity indicators. The negative impact of corruption on labour productivity is unwaveringly empirically proven and economically significant. More specifically, we find that an increase in the extent to which public authority is used for private gain by one unit, on average, reduces GDP per worker by 12,013 international dollars, or by 11,112 international dollars when considering the model with the square of the capital stock.
Keywords:corruption, labour productivity, capital stock, European economies


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